THE VARIATIONAL NONLINEAR CHIRP MODE DECOMPOSITION BASED ON CONVEX OPTIMIZATION FOR FAULT DIAGNOSIS
The problem in the processing of mechanical fault vibration signal by variational nonlinear chirp mode decomposition（VNCMD）,the noise leads to time-frequency surface blurring,which reduces the accuracy of time-frequency ridges extracted,and then affects the decomposition effect of VNCMD,is aimed at,...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2020-01-01
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| Series: | Jixie qiangdu |
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| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.06.003 |
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| author | MA YuBo LV Yong YI CanCan |
| author_facet | MA YuBo LV Yong YI CanCan |
| author_sort | MA YuBo |
| collection | DOAJ |
| description | The problem in the processing of mechanical fault vibration signal by variational nonlinear chirp mode decomposition（VNCMD）,the noise leads to time-frequency surface blurring,which reduces the accuracy of time-frequency ridges extracted,and then affects the decomposition effect of VNCMD,is aimed at,so a joint fault diagnosis of convex optimization and VNCMD is proposed.The noise can be eliminated by solving the sparse approximate solution of signal via the convex optimization algorithm,which can improve the readability of the time-frequency surface,so as to obtain accurate timefrequency ridges.Then,by using these ridges,the fault features of the signal can be extracted effectively via VNCMD.Through the analysis of simulated signal and the measured bearing outer ring fault data,the results demonstrate that the proposed method can realize the accurate extraction of rolling bearing fault feature. |
| format | Article |
| id | doaj-art-d6949692207d4e9995cb1b96252626b2 |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2020-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-d6949692207d4e9995cb1b96252626b22025-01-15T02:26:50ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692020-01-01421286129230609317THE VARIATIONAL NONLINEAR CHIRP MODE DECOMPOSITION BASED ON CONVEX OPTIMIZATION FOR FAULT DIAGNOSISMA YuBoLV YongYI CanCanThe problem in the processing of mechanical fault vibration signal by variational nonlinear chirp mode decomposition（VNCMD）,the noise leads to time-frequency surface blurring,which reduces the accuracy of time-frequency ridges extracted,and then affects the decomposition effect of VNCMD,is aimed at,so a joint fault diagnosis of convex optimization and VNCMD is proposed.The noise can be eliminated by solving the sparse approximate solution of signal via the convex optimization algorithm,which can improve the readability of the time-frequency surface,so as to obtain accurate timefrequency ridges.Then,by using these ridges,the fault features of the signal can be extracted effectively via VNCMD.Through the analysis of simulated signal and the measured bearing outer ring fault data,the results demonstrate that the proposed method can realize the accurate extraction of rolling bearing fault feature.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.06.003Convex optimizationVNCMDTime-frequency ridge curvesFault feature extraction |
| spellingShingle | MA YuBo LV Yong YI CanCan THE VARIATIONAL NONLINEAR CHIRP MODE DECOMPOSITION BASED ON CONVEX OPTIMIZATION FOR FAULT DIAGNOSIS Jixie qiangdu Convex optimization VNCMD Time-frequency ridge curves Fault feature extraction |
| title | THE VARIATIONAL NONLINEAR CHIRP MODE DECOMPOSITION BASED ON CONVEX OPTIMIZATION FOR FAULT DIAGNOSIS |
| title_full | THE VARIATIONAL NONLINEAR CHIRP MODE DECOMPOSITION BASED ON CONVEX OPTIMIZATION FOR FAULT DIAGNOSIS |
| title_fullStr | THE VARIATIONAL NONLINEAR CHIRP MODE DECOMPOSITION BASED ON CONVEX OPTIMIZATION FOR FAULT DIAGNOSIS |
| title_full_unstemmed | THE VARIATIONAL NONLINEAR CHIRP MODE DECOMPOSITION BASED ON CONVEX OPTIMIZATION FOR FAULT DIAGNOSIS |
| title_short | THE VARIATIONAL NONLINEAR CHIRP MODE DECOMPOSITION BASED ON CONVEX OPTIMIZATION FOR FAULT DIAGNOSIS |
| title_sort | variational nonlinear chirp mode decomposition based on convex optimization for fault diagnosis |
| topic | Convex optimization VNCMD Time-frequency ridge curves Fault feature extraction |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.06.003 |
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